AI in Sports Market size is estimated to reach over USD 25.14 Billion by 2032 from a value of USD 4.27 Billion in 2024 and is projected to grow by USD 5.25 Billion in 2025, growing at a CAGR of 28.85% from 2025 to 2032.
AI in Sports Market Scope & Overview:
AI is transforming the sports industry through machine learning and data analysis, offering insights that optimize training, improve strategy, and personalize the overall sports experience. Additionally, the key benefits include enhanced performance evaluation, injury prevention, improved training, and increased fan engagement which in turn is boosting the AI in sports market demand. Moreover, the solution is utilized by teams, individuals, and coaches among others. Further, the AI helps to analyze data in real-time to forecast game outcomes, player performance, and others which in turn is driving the AI in sports market growth.
Real-Time Performance Analysis and Strategy Optimization Boosting Market Growth for AI in Sports.
AI systems analyze vast amounts of data in real-time, providing immediate feedback to coaches and athletes on performance metrics which in turn is driving the AI in sports market growth. Additionally, AI analyzes athlete data to predict injury risks, customize training programs, and optimize recovery plans in turn is fueling the AI in sports market demand. Further, AI analyzes video footage to assist referees in making accurate and consistent decisions is driving the AI in sports industry.
For instance, in February 2025, ANN ARBOR, Mich launched an AI solution from AIQ designed for front offices, coaches, and players that seamlessly integrates into all evaluation and development processes.
Therefore, the rising demand for real-time performance analysis and strategy optimization is driving the adoption in the sports industry, in turn, proliferating the growth of the market.
Key Restraints:
Data Security and Data Quality Concerns are Restraining the Market Growth
AI systems are susceptible to disclosing private information of the athlete due to inadequate data security and storage which leads to data breaches and is hindering the AI in sports market expansion. Additionally, the scarcity of large-scale, high-quality datasets is creating challenges for market development. Further, AI algorithms are trained on data, and data reflects historical biases, leading to unfair or inaccurate assessments.
Therefore, the data security and data quality are hindering the AI in sports market expansion.
Future Opportunities :
Surging Focus on Fan Engagement is Expected to Promote Potential Opportunities for Market Growth
AI technologies are being used to create personalized and interactive experiences for fans watching from the stadium or at home, which in turn is paving the way for AI in sports market opportunities. Additionally, AI algorithms analyze fan behavior and preferences to deliver personalized content to boost fan engagement and loyalty which in turn is propelling the market progress. Further, AI allows for commentary in multiple languages, expanding the reach of sports content to a global audience which in turn is fueling the market evolution.
For instance, in June 2025, the All England Lawn Tennis Club partnered with IBM for the deployment of AI features for real-time Wimbledon fan engagement. The aim of launch is to create complementary experiences for engaging new and existing tennis fans globally.
Hence, the rising focus on fan engagement is anticipated to increase the utilization of AI, in turn promoting prospects for AI in sports market opportunities during the forecast period.
AI in Sports Market Segmental Analysis :
By Offering:
Based on the offering, the market is bifurcated into solutions and services.
Trends in the Offering:
The solution segment is primarily utilized to take proactive measures to prevent injuries which in turn is boosting the AI in sports market trends.
The rising adoption of VR simulation enabled with AI is driving the AI in sports market trends.
Solutions accounted for the largest revenue share in the year 2024.
AI algorithms analyze vast amounts of data from sensors, videos, and other sources to track various aspects such as athlete movements, physiological data, and others.
Additionally, AI solutions analyze game footage, player movements, and others which in turn is driving the AI in sports market share.
Further, the solution helps to provide instant feedback and insights during games, enabling coaches to make timely adjustments and strategic decisions which in turn is fueling the AI in sports market share.
Thus, the ability to provide instant feedback and insights during games is driving the market progress.
Services is anticipated to register the fastest CAGR during the forecast period.
AI-powered services are utilized to provide personalized training programs and real-time performance monitoring to automated video analysis which in turn is driving the adoption of the services segment.
Additionally, AI helps to provide tailored training regimens to individual athletes which in turn fuels the AI in sports market size.
Further, AI in sports services help coaches develop more effective game plans is which in turn is fueling the AI in sports market size.
Therefore, as per the market analysis, the services segment provides tailored training regimens to individual athletes which in turn is anticipated to boost the market during the forecast period.
By Technology:
Based on the technology, the market is segmented into machine learning, computer vision, deep learning, natural language processing, and others.
Trends in the Technology:
The rising adoption of wearable devices for collecting data of parameters such as heart rate, blood oxygen levels, and other biometric indicators is driving the market progress.
The rising adoption of textual and audio information related to sports with the help of natural language processing is driving the market progress.
Machine Learning accounted for the largest revenue share in the year 2024.
Machine learning helps to analyze performance, prevent injury, and enhance fan engagement.
Additionally, ML algorithms analyze vast amounts of data from various sources to provide actionable insights for athletes, coaches, and sports organizations which in turn fuels the market progress.
Further, machine learning helps to deliver tailored content, statistics, and highlights based on individual preferences which in turn is boosting the market progress.
For instance, in September 2024, The National Football League extended the long term partnership with Amazon Web Services, Inc. to leverage AWS's artificial intelligence (AI) and machine learning (ML) services to shape the future of football.
Thus, the rising adoption of ML to deliver tailored content, statistics, and highlights based on individual preferences is driving the market progress.
Computer Vision is anticipated to register the fastest CAGR during the forecast period.
Computer vision tracks athletes' movements, including joint and limb movements which in turn help to enhance the training program for athletes.
Additionally, computer vision helps to make accurate decisions in matches is driving the demand for computer vision.
Further, computer vision minimizes human error, ensures fair play, and maintains the integrity of the sport, as well as provides player statistics and movement evaluation in live broadcasts.
Therefore, the rising adoption of making accurate decisions in the match is anticipated to boost the market during the forecast period.
By Application:
Based on the application, the market is segmented into player performance, training & diet plan, scouting & recruiting, ticketing, fan engagement, sports predictions, advertising, and others.
Trends in the Application:
The trend towards rising adoption of AI-powered chatbots for providing instant support and engagement is driving the market adoption for fan engagement.
The trend towards adoption of real-time training adjustments and enhanced member engagement for training & diet plan applications is boosting the market progress.
Player Performance accounted for the largest revenue share in the year 2024.
AI significantly enhances sports performance by analyzing data to optimize training, prevent injuries, and improve in-game strategies which in turn is driving the market adoption for player performance applications.
Additionally, AI tools are used mainly by coaches to track performance, in-game strategies, and others.
Further, the widespread adoption across all sports segments such as football, tennis, and others, is driving the market progress.
For instance, in July 2025, AWRE Sports partnered with WIN Reality to leverage AI-powered swing biomechanics analysis designed for baseball and softball coaches and players to improve players performance.
Thus, the widespread adoption across all sports segments such as football, tennis, and others is driving the market progress.
Fan Engagement is anticipated to register the fastest CAGR during the forecast period.
AI is designed to analyze fan data to deliver tailored content to fans which in turn is driving the market progress.
Additionally, AI algorithms predict fan behavior, allowing for proactive engagement and personalized offers, such as targeted promotions and exclusive content is driving the market adoption for fan engagement.
Further, the rising adoption of virtual and augmented reality technologies to create immersive experiences for fans is boosting the market progress.
Therefore, the rising adoption of virtual and augmented reality technologies is anticipated to boost the market during the forecast period.
By End User:
Based on the end user, the market is segmented into team, individual, coach, and others.
Trends in the End User:
The trend towards rising demand for AI-powered coaching platforms is boosting the market progress.
The trend towards the adoption of broadcasting automation is driving the market progress.
The team accounted for the largest revenue share of 47.39% in the year 2024.
AI helps sports teams in enhancing player performance, optimizing training regimens, preventing injuries, and improving strategic decision-making.
Additionally, AI algorithms analyze player movements, speed, and stamina which in turn helps to optimize team performance.
Further, AI helps to predict potential injury risks by analyzing physical strain, fatigue levels, and others is driving the market adoption by teams.
For instance, in September 2024, Centrical launched AI Assistant, aiming to help teams save more than 4 hours per week while elevating performance is driving the market progress.
Thus, according to the AI in sports market analysis, analyzing player movements, speed, and stamina is driving the market progress.
Individual is anticipated to register the fastest CAGR during the forecast period.
AI significantly helps individual athletes by enhancing performance, preventing injuries, and tailoring training programs.
Additionally, AI-powered systems can provide athletes with immediate feedback during training and competition, driving the market progress.
Further, AI helps with early detection of potential injuries, which in turn helps to allow for quicker and more effective rehabilitation, driving the market progress.
Therefore, according to the AI in sports market analysis, the rising adoption of AI to provide athletes with immediate feedback is anticipated to boost the market during the forecast period.
Regional Analysis:
The regions covered are North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Asia Pacific region was valued at USD 1.14 Billion in 2024. Moreover, it is projected to grow by USD 1.41 Billion in 2025 and reach over USD 6.93 Billion by 2032. Out of this, China accounted for the maximum revenue share of 32.10%. The market progress is mainly driven by the rising adoption of AI-powered tools for sports evaluation, broadcasting, and athlete performance. Furthermore, factors including enhancing athlete performance, strategic planning, and fan engagement are projected to drive the market growth in the Asia Pacific region during the forecast period.
For instance, in April 2025, TCS partnered with Schneider Electric Marathon de Paris to leverage AI, data analytics, and digital innovation to enhance the race experience.
North America is estimated to reach over USD 7.76 Billion by 2032 from a value of USD 1.31 Billion in 2024 and is projected to grow by USD 1.62 Billion in 2025. The North American region's growing sports sector, by leveraging AI for data-driven decision making, offers lucrative growth prospects for the market. Additionally, the rising need to develop smarter in-game opponents and optimize strategies is driving the market's progress.
For instance, in August 2024, IBM partnered with the United States Tennis Association to leverage generative AI for match report summaries. The AI is designed to deliver a more informative and engaging experience for millions of tennis fans.
The regional evaluation depicts that the AI is used for athlete performance and personalized training plans in Europe is driving the market. Additionally, the key factor driving the market is the expanding sports infrastructure is propelling the market adoption in the Middle East and African region. Further, the increasing investment in football and expanding startup culture are paving the way for the progress of the market in Latin American region.
Top Key Players and Market Share Insights:
The global AI in sports market is highly competitive with major players providing AI in sports to the national and international markets. Key players are adopting several strategies in research and development (R&D), product innovation, and end user launches to hold a strong position in the AI in sports industry. Key players in the AI in sports market include-
In August 2024, Genius Sports Limited launched GeniusIQ for revolutionizing sports sector. The AI provides game evaluation, ultra-immersive experiences, and others.
AI in Sports Market Report Insights :
Report Attributes
Report Details
Study Timeline
2019-2032
Market Size in 2032
USD 25.14 Billion
CAGR (2025-2032)
28.85%
By Offering
Solutions
Services
By Technology
Machine Learning
Computer Vision
Deep Learning
Natural Language Processing
Others
By Application
Player Performance
Training & Diet Plan
Scouting & Recruiting
Ticketing
Fan Engagement
Sports Predictions
Advertising
Others
Machine Learning
Computer Vision
Deep Learning
Natural Language Processing
Others
By End User
Team
Individual
Coach
Others
By Region
Asia-Pacific
Europe
North America
Latin America
Middle East & Africa
Key Players
HCL Technologies Limited (India)
ExlService Holdings, Inc. (USA)
Sportradar AG (Switzerland)
IBM (USA)
Salesforce (USA)
Intel (USA)
Microsoft (USA)
PlaySight (Israel)
Kitman Labs (Ireland)
SAP SE (Germany)
North America
U.S.CanadaMexico
Europe
U.K.GermanyFranceSpainItalyRussiaBeneluxRest of Europe
APAC
ChinaSouth KoreaJapanIndiaAustraliaASEANRest of
Asia-Pacific
Middle East and Africa
GCCTurkeySouth
AfricaRest of MEA
LATAM
BrazilArgentinaChileRest of LATAM
Report Coverage
Revenue Forecast
Competitive Landscape
Growth Factors
Restraint or Challenges
Opportunities
Environment
Regulatory Landscape
PESTLE Analysis
PORTER Analysis
Key Technology Landscape
Value Chain Analysis
Cost Analysis
Regional Trends
Forecast
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AI in Sports Market Size, Share, Trends & Growth Forecast - 2032
Key Questions Answered in the Report
How big is the AI in sports market? +
The AI in sports market size is estimated to reach over USD 25.14 Billion by 2032 from a value of USD 4.27 Billion in 2024 and is projected to grow by USD 5.25 Billion in 2025, growing at a CAGR of 28.85% from 2025 to 2032.
Which segmentation details are covered in the AI in sports report? +
The AI in sports report includes specific segmentation details for offering, technology, application, end user, and regions.
Which is the fastest segment anticipated to impact the market growth? +
In the AI in sports market, the fan engagement is the fastest-growing segment during the forecast period due to the rising adoption of virtual and augmented reality technologies.
Who are the major players in the AI in sports market? +
The key participants in the AI in sports market are HCL Technologies Limited (India), ExlService Holdings, Inc. (USA), Sportradar AG (Switzerland), IBM (USA), Salesforce (USA), Intel (USA), Microsoft (USA), PlaySight (Israel), Kitman Labs (Ireland), SAP SE (Germany), and others.
What are the key trends in the AI in sports market? +
The AI in sports market is being shaped by several key trends including the rising adoption of AI-powered chatbots for providing instant support and engagement, and others.
Amit Sati is a Senior Market Research Analyst in the Research team of Consegic Business Intelligence. He is client-focused, understands multiple research methods, holds strong analytical skills, in-depth presentation, and reporting skills. Amit is industrious with his research work and has sturdy attention to details. He has capability of pattern recognition within statistics, holds strong analytical mind, great training abilities and capability to quickly gel with fellow mates.